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04_​Model_​Simulation_​View

Model Simulation View Component with AutoML

This workflow shows how to use the "Model Simulation View" component with AutoML

The key of this example is the “Model Simulation View” component, verified and developed by the KNIME Team. Use this component to interactively execute the model on a user-defined input for testing or deployment purposes. The component and the resulting data app can be deployed on KNIME Server for any user to interact with via web browser.

Instead of AutoML any other custom model can also be used in the workflow with both Learner and predictor nodes.

The "Model Simulation View" component can also work with custom models trained and captured via the KNIME Integrated Deployment Extension.

URL: KNIME Integrated Deployment - KNIME.com https://www.knime.com/integrated-deployment
URL: Guided Automation: a more complex AutoML example with KNIME Software https://kni.me/w/eAGfGtEAIr-1iYR-
URL: KNIME Verified Components - KNIME.com https://www.knime.com/verified-components
URL: Ames Iowa Housing Data https://www.kaggle.com/marcopale/housing
URL: Bike Sharing Dataset https://archive.ics.uci.edu/ml/datasets/Bike+Sharing+Dataset
URL: Auto MPG Data Set https://archive.ics.uci.edu/ml/datasets/auto+mpg
URL: Diabetes Data http://statweb.lsu.edu/faculty/li/teach/exst7142/diabetes.html
URL: Titanic Data https://www.kaggle.com/c/titanic
URL: Iris Data https://archive.ics.uci.edu/ml/datasets/iris
URL: Wine Data https://archive.ics.uci.edu/ml/datasets/wine
URL: Census Income Data https://archive.ics.uci.edu/ml/datasets/adult

Model Simulation of a Classification Model from AutoML component Top : Train + Validation setsBottom : Test setexecute up-streambefore configuration Select Example DatasetFor Classification Partitioning AutoML ModelSimulation View Model Simulation of a Classification Model from AutoML component Top : Train + Validation setsBottom : Test setexecute up-streambefore configuration Select Example DatasetFor Classification Partitioning AutoML ModelSimulation View

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